𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Data Analysis of Asymmetric Structures: Advanced Approaches in Computational Statistics

✍ Scribed by Takayuki Saito, Hiroshi Yadohisa


Publisher
CRC Press
Year
2004
Tongue
English
Leaves
266
Series
Statistics: A Series of Textbooks and Monographs
Edition
1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


Data Analysis of Asymmetric Structures provides a comprehensive presentation of a variety of models and theories for the analysis of asymmetry and its applications and provides a wealth of new approaches in every section. It meets both the practical and theoretical needs of research professionals across a wide range of disciplines andΒ  considers data analysis in fields such as psychology, sociology, social science, ecology, and marketing. In seven comprehensive chapters this guide details theories, methods, and models for the analysis of asymmetric structures in a variety of disciplines and presents future opportunities and challenges affecting research developments and business applications.


πŸ“œ SIMILAR VOLUMES


Data analysis of asymmetric structures :
✍ Takayuki Saito; Hiroshi Yadohisa πŸ“‚ Library πŸ“… 2005 πŸ› Marcel Dekker 🌐 English

<br> Content: Introduction Paired comparison with asymmetry Graphical representation of asymmetric data Multidimensional scaling of asymmetric data Cluster analysis of asymmetric data Network analysis of asymmetric data Analysis of asymmetry of the relationship between two sets of multiv

Data Analysis of Asymmetric Structures:
✍ Takayuki Saito, Hiroshi Yadohisa πŸ“‚ Library πŸ“… 2004 πŸ› CRC Press 🌐 English

<b><i>Data Analysis of Asymmetric Structures</i></b> provides a comprehensive presentation of a variety of models and theories for the analysis of asymmetry and its applications and provides a wealth of new approaches in every section. It meets both the practical and theoretical needs of research pr

Advanced data analysis in neuroscience :
✍ Durstewitz, Daniel πŸ“‚ Library πŸ“… 2017 πŸ› Springer 🌐 English

<p><p>This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost a

Advances in Statistical Models for Data
✍ Isabella Morlini, Tommaso Minerva, Maurizio Vichi (eds.) πŸ“‚ Library πŸ“… 2015 πŸ› Springer International Publishing 🌐 English

<p><p>This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and contributions to a wide range of application areas suc